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The Journal of Purdue Undergraduate Research has been established to publish outstanding research papers written by Purdue undergraduates from all disciplines who have completed faculty-mentored research projects. The journal is run by students, but behind the scenes is a unique partnership between Purdue University Press and other departments of Purdue University Libraries, working with Purdue Marketing and Media and the Writing Lab, based in the Department of English. Publication of JPUR is sponsored by the Office of the Provost at Purdue University.

We are now accepting submissions for Volume 15 to be published in Fall 2025. The final deadline for the 2025 volume is February 15, 2025. To submit your proposal, please use the "Submit Proposal" link on the left-hand navigation bar.

Student Opportunities

Have your draft proposal reviewed! Email your draft to jpur@purdue.edu.

JPUR is an Open Access journal. This means that it uses a funding model that does not charge readers or their institutions for access. Readers may freely read, download, copy, distribute, print, search, or link to the full texts of articles. This journal is covered under the CC BY-NC-ND license. If you have concerns about the submission or publication terms for the Journal of Purdue Undergraduate Research, please contact the Journal Coordinator at jpur@purdue.edu.


Who is reading JPUR right now?

Current Volume: Volume 14 (2024)

Editorial

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Editorial
Jenna Rickus

Articles

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Coded Bias in Applicant Tracking Systems
Prithvi Dhanabal and Emily Hao

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Identification of Conserved Eukaryotic Gene Products in Novel Mycobacteriophage
Brandon Mar, Jade Coxon, Lily Esterline, Sydney Clifford, Gabriella Burke, Mallory Motz, Alaina Gartner, Kioni Bush, James Lin, Lizzie Adams, and Sophia Palant

Research Snapshots

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Multisensing Self-Powered Patch for Meltdown Prediction
Sarah Pushparaj, Sejal Rhodes, and Ezekiel Ulrich

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Analyzing Bacteriophage Protein Structural Motifs Utilizing a Variety of Novel Software
Hudson Schneider, Drake Strait, Michael Perrin, Zachery Heppner, Derek Temple, and Katherine DeMarco

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Enhancing Bedside Nursing Care: An Artificial Neural Network Approach to Predicting Cardiac Arrest in Hospitalized Adults
Katharine Czech, Alec Pannunzio, Maddie Anderson, Numair Khan, Jacob Lacanienta, Jonghyeok Lee, Aneesh Poddutur, Emily Rastovski, Kira Voelker, Julie Wasyliw, and Sei Zou

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Artificial Intelligence in Music—Evaluator
Gurtej Bagga, Anthony Wang, Brian Qi, and Shrinand Perumal

Out of the Box

Interviews

Alumni Spotlights

Back Matter

 
 
 
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